MS in Statistics, Computer Science, Applied Math, Economics, Operations Research, or a related quantitative field
5 years experience or BS
7 years experience
Demonstrated experience and success in leading large-scale projects.
Track record of developing and implementing models and visualizations using programming and scripting (Scala, Python, R, Ruby, and/or Matlab).
Experience with statistical analysis, various forecasting, optimization and statistical tools and communicating results, plans and/or risks clearly.
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit https://www.amazon.science for more information.
You have super powers. Use them for good. We catch bad guys and stop online fraud. It’s fun. It’s hard. It matters. We need you.
Amazon’s Customer Trust and Partner Support (CTPS) team is engaged in a technological arms race: cyber-criminals from across the world continually look for new ways to steal from us and cover their tracks, while we invent new techniques to detect and neutralize them with ever increasing speed and scale.
It’s fun. We don’t just catch the bad guys; we stop crimes before they happen. Remember the "Minority Report"? It’s just like that. Basically, we predict the future by developing and applying cutting-edge machine learning systems to detect, predict, and prevent online fraud before it happens.
It’s hard. This is Amazon, so of course our services are low latency, high throughput, highly scalable, and failure proof. Our fraud prevention systems are also highly reactive: we process multiple terabytes of data yet notice changes in individual behavior patterns in seconds. Even by Amazon standards, our datasets are massive and our transaction rates impressive, and everything is built with a scrupulous attention to security.
It matters. Amazon is one of the world’s most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when sellers cheat buyers, everyone loses. Even after we refund their money, buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and chargebacks goes straight to our bottom line and ultimately results in higher prices for all our customers.
PhD or Master in Operations Research, Statistics, Applied Mathematics or related field. · Programming / scripting experience (Java/Scala, Python, R, Ruby, C#, and/or PHP). · Experience collaborating with sales, operations and engineering teams is a plus. · Knowledge of cloud computing and AWS services is a plus. · Excellent analytical and communication skills and ability to influence stakeholders.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.